sktime
A unified Python framework for machine learning with time series, offering scikit-learn compatible tools for forecasting, classification, clustering, and more.
What is sktime?
sktime is a Python library that provides a unified framework for machine learning with time series data. It solves the problem of fragmented tooling by offering a consistent interface for tasks like forecasting, classification, clustering, and anomaly detection, all while maintaining compatibility with scikit-learn.
Data scientists, machine learning engineers, and researchers working with time series data who need a comprehensive, interoperable toolkit for analysis and modeling.
Developers choose sktime for its scikit-learn compatibility, unified API across multiple time series tasks, and rich model composition features, which streamline workflows and reduce the need to switch between disparate libraries.
Overview
A unified framework for machine learning with time series
Use Cases
Best For
- Building end-to-end time series forecasting pipelines
- Classifying time series data with scikit-learn compatible classifiers
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